Europe’s e-commerce market is expanding and booming at a really fast pace. As of 2025, online sales across the region have reached $632.7 billion, and forecasts suggest that revenue could climb to nearly US$900 billion by 2028. With more shoppers turning to digital platforms for everything from groceries to gadgets, the pressure on retailers and logistics providers to deliver quickly and reliably has never been higher. However, speed alone isn’t enough anymore. 

In the age of AI Commerce, consumers expect more than fast shipping. They want delivery they can trust. That means accurate delivery dates, clear updates, and fewer surprises. As AI-powered shopping assistants become the norm, brands are being judged not just by what they sell, but by how well they deliver. That’s where AI Decision Intelligence is changing the game. Today, AI Decision Intelligence is helping businesses move from reactive fixes to proactive performance.

In another of our European e-commerce logistics landscape series, we will explore how delivery performance across Europe has evolved during Q2 2025, from rising transit times to shifting success ratios, and how AI is helping retailers stay ahead. Whether you’re a logistics leader, an e-commerce strategist, or just curious about what’s driving the next wave of e-commerce delivery growth, you’ll find fresh insights and practical recommendations in the sections ahead.

European Transit Times in Q2 2025: Are We Getting Slower?

Furthermore, delivery speed across Europe took a noticeable hit in Q2 2025. The average transit time rose to 1.6 days in Q2 2025, up from 1.44 days in Q1 2025, making it the slowest performance in over a year. What’s even more surprising is that this figure surpassed the 1.56-day average during Q4 2024, a period typically strained by Black Friday, Cyber Monday, and holiday shopping. So, what’s really causing the slowdown?

Several factors are likely responsible for the slow transit times recorded by e-commerce logistics carriers in Europe during Q2 2025. These include worsening port congestion at Rotterdam and Antwerp, with strikes, yard overflows, and vessel delays. At the same time, low water levels on the Rhine have restricted barge movements, forcing carriers to reroute or delay inland shipments. Likewise, there have been geopolitical tensions, including tariff uncertainty and regional instability, putting the logistics network under pressure.

In this environment, the old strategy of under-promise and over-deliver is starting to crack. Retailers quoted an average of 1.18 days, but actual delivery performance fell short. However, in the world of AI Commerce, where algorithms reward consistency and penalize delays, even small gaps between promise and reality can push a brand out of the recommendation engine’s top picks.

First Attempt Delivery Success Is Recovering, But Still Below Peak

Furthermore, unlike transit times, Europe’s first-attempt delivery success rate showed signs of recovery in Q2 2025, climbing to 86.39%, up from 82.05% in Q1 2025. While that’s a step in the right direction, it’s still well below the 93.54% peak recorded at the end of 2023. That drop matters because every missed first attempt means extra costs, more delays, and frustrated customers.

What’s more, several factors might be causing the dip and slow rise. Recipient unavailability remains a top issue among European online shoppers. Many deliveries still fail simply because no one’s home. Incorrect or incomplete addresses also continue to trip up carriers, especially in cross-border shipments. Add to that weather disruptions, traffic congestion, growing parcel volumes from summer sales, and staff shortages during peak periods, and it’s clear that the last mile is under pressure. 

In the world of AI Commerce, these missed first attempts don’t just hurt customer satisfaction, they also affect how visible your brand is. Algorithms now factor in delivery reliability when recommending products. That means if your parcels aren’t arriving on the first try, your brand could be pushed lower in search results or filtered out entirely. As such, first-attempt success isn’t just a logistics metric anymore, it’s a visibility score.

Q2 vs. Q1 2025: Delivery Strain in Europe

Europe’s delivery networks felt the heat in Q2 2025. As mentioned earlier, transit times rose to 1.6 days, up from 1.44 days in Q1 2025, marking the slowest pace in over a year. That’s a noticeable shift, especially considering Q2 isn’t typically a peak season. The slowdown might have been caused by a mix of real-world challenges. 

Furthermore, port congestion at Rotterdam, Antwerp, and across Northern Europe caused delays of up to 72 hours, with terminals stretched beyond capacity. Likewise, low water levels on the Rhine restricted barge movement, forcing carriers to reroute or split shipments across multiple vessels. In addition to these, the geopolitical tensions, such as the Russia-Ukraine war and Red Sea disruptions, put Europe’s supply chains under pressure.

What’s more, the on-time delivery ratio dropped slightly from 98.52% in Q1 2025 to 98.11% in Q2 2025. Likewise, the carrier issue ratio increased marginally from 1.93% in Q1 2025 to 2.09% in Q2 2025. This was also the case of the recipient issue ratio, which increased from 5.18% in Q1 2025 to 5.68% in Q2 2025. Despite all this, first-attempt delivery success actually improved, climbing from 82.05% in Q1 2025 to 86.39% in Q2 2025, and this remains a promising sign. 

Logistics teams are clearly working hard to adapt, whether by improving address accuracy, offering flexible delivery options, or using smarter routing tools. With more parcels moving through strained networks, the key to staying ahead is AI-powered decision-making. From predicting delays to rerouting shipments in real time, smart logistics tools are helping retailers and carriers balance speed, accuracy, and customer satisfaction even when the pressure’s on.

How AI Decision Intelligence Helps Retailers Win in This Market

As delivery challenges grow across Europe, retailers need more than tracking dashboards. They need smarter tools that turn data into action. That’s where AI Decision Intelligence becomes a game-changer. Instead of waiting for issues to surface, this solution helps brands spot problems early, make smarter promises, and protect the customer experience in real time. In the AI commerce market shaped by performance data and algorithmic visibility, it’s the edge retailers can’t afford to ignore.

See Risks Early with Predictive Monitoring

AI Decision Intelligence watches over hundreds of delivery signals, such as traffic delays, missed scans, and weather conditions, and uses dynamic scoring to flag parcels at risk. Teams can reroute shipments, adjust delivery windows, or send alerts before customers even notice a delay.

Quote Smarter ETAs and Boost Checkout Conversion

Using real-time performance data, retailers can offer more accurate Estimated Delivery Dates (EDDs) at checkout. This builds trust, sets realistic expectations, and helps customers feel confident about completing their purchase.

Spot Underperformers and Act Fast

Not all carriers or trade lanes deliver equally. AI Decision Intelligence highlights problem areas as they happen. The solution shows which routes, hubs, or partners are falling behind. That means retailers and logistics teams can act fast to switch carriers, resolve bottlenecks, or prevent repeat issues.

Prevent Issues Before They Escalate

Most logistics tools report what has already gone wrong, but AI Decision Intelligence flips the script. It helps teams move from reactive fixes to proactive planning, using real-time alerts and guided actions to solve delivery problems before they hit the customer.

Final Thoughts – Delivery Isn’t Just Logistics, It’s a Brand Strategy

In conclusion, our review of Q2 2025 ecommerce logistics performance metrics in Europe showed us one thing clearly: delivery can either drive growth or quietly erode customer trust. Across Europe, transit times got slower, both carrier and recipient issue ratios increased, and missed first attempts continued to drag down performance. However, in the middle of that strain, retailers who embraced real-time insights and smarter tools found ways to stay visible, reliable, and competitive.

In an AI Commerce world where discoverability depends on performance, showing up late means getting left out. That’s why tools like AI Decision Intelligence aren’t just helpful, they’re essential. They let retailers quote smarter ETAs, catch problems early, and act fast to protect both loyalty and logistics.

Ready to turn your delivery data into a growth driver? Book a demo with Parcel Perform and see how Decision Intelligence can help your team win the speed game without sacrificing trust.

FAQs: AI Commerce, Delivery Metrics, and Winning Strategies

1. What is AI Commerce in simple terms? 

AI Commerce is when smart technology helps shoppers choose the best product, not just based on price or features, but also on how well a brand delivers. If your delivery is slow or unreliable, AI filters you out. As a result, your brand might not even show up in search results or recommendations.

2. Why does first-attempt delivery matter for AI rankings? 

First-attempt delivery matters for AI rankings because missed deliveries frustrate customers. If your parcels don’t arrive the first time, it signals poor performance. AI agents pick up on that and push more reliable brands to the top. Therefore, first-attempt success isn’t just a logistics stat, it’s a visibility score.

3. What is AI Decision Intelligence? 

AI Decision Intelligence is a smart system that turns delivery data into daily actions. Instead of just showing you what went wrong, it helps you fix it fast. From predicting delays to suggesting better carriers, AI Decision Intelligence keeps your parcels moving and your customers happy.

4. How can retailers stay competitive with longer transit times? 

Retailers can stay competitive with longer transit times by being honest and accurate. They may also need to quote realistic delivery dates, stay consistent, and use AI to monitor performance. If your business can’t be the fastest, be the most reliable. That builds trust, and trust keeps customers coming back.

5. What’s at stake if I ignore these trends? 

However, if you ignore these trends, you risk fading into the background. In AI-powered shopping, loyalty is driven by logic. If your delivery isn’t fast or reliable, your brand gets skipped. Today, delivery isn’t just part of the experience, it’s part of the decision.